Hi, can you please contact me at dd@zuckerman.ai

Thanks for the feedback. Are you going to forget this name though?

I don’t know if I will forget it, but it’s enough to keep me away from considering using it

No, you are right. Its more memorable. With my accent, I can pronounce it as Suckerman

I think it's a genius name and is playful on the meme of a pale Zuckerberg being a robot.

No, in the sense that I wouldn't forget an AI agent called "Epsteinman" or "Prolapseman" either.

Great point. I wrote it as important note and ill take it into account.

DIYWA - do it yourself with agent ;) hopefully zuckerman as the start point

I'm building this in the hope that AI will be cheap one day. For now, I'll add many optimizations

AI is cheap right now. At some point the AI companies must turn to generate profit

Anthropic has stated that their inference process is cash positive. It would be very surprising if this wasn't the case for everyone.

It's certainly an open question whether the providers can recoup the investments being made with growth alone, but it's not out of the question.

Problem is the models need constant training or they become outdated. That the less expensive part generates profit is nice but doesn’t help if you look at the complete picture. Hardware also needs replacement

Have you tested this with a local model? I'm going to try this with GLM 4.7

What would be the best model to try something like this on a 5800XT with 8 GB RAM?

Yes, it certainly makes sense if you have the budget for it.

Could you share what it costs to run this? That could convince people to try it out.

I mean, you can just say Hi to it, and it will cost nothing. It only adds code and features if you ask it to

thanks

Thanks :)

Hi, thanks for sharing

We have multiple data sources, not just scraping. There are many solutions for this, but they can be expensive. For now, we’re using some infrastructure that we built ourselves, and it’s enough for our small scale.

Thanks for sharing :) So as I wrote "Scholtz is currently focused on LinkedIn profiles in the U.S. tech industry."